Applied Digital (APLD) Return on Sales [ROS] (2022 - 2026)
Applied Digital's Return on Sales [ROS] was -18.25% in fiscal Q1 2027 (quarter ended Aug 31, 2026), down 6.18 percentage points from -12.06% a year earlier but up 29.99 percentage points from the prior quarter.
Applied Digital (APLD) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Applied Digital's Return on Sales [ROS] was -35.58% through Aug 31, 2026, up 3.14 percentage points year-over-year; for FY2026 (ended May 31, 2026), it came in at -38.68%, down 7.10 percentage points from FY2025.
- Return on Sales [ROS] shows a four-year change of +205.77 percentage points (FY2022 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was -31.58% in FY2025 (+27.81 pp), -59.39% in FY2024 (+18.08 pp), -77.47% in FY2023 (+166.98 pp) and -244.45% in FY2022.
- Quarterly Return on Sales [ROS] has moved between -235.58% (fiscal Q3 2022) and 72.58% (fiscal Q1 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -2.66 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q2 2024 (a gain of 197.61 percentage points); the worst was fiscal Q1 2026 (a drop of 84.64 percentage points).
- Per Business Quant data, APLD's Return on Sales [ROS] in the three fiscal quarters before Q1 2027 was -48.24% (Q4 2026), -67.65% (Q3 2026) and -24.45% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 45.11% |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 15.24% |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | -29.55% |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 25.33% |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | -30.21% |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | -1.90% |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | 68.18% |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 9.24% |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 26.39% |
| 10 | Applied Digital | 5.62 Bn | -2.57 Bn | 96.17 Mn | -18.25% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -18.25% |
| May 31, 2026 | -48.24% |
| Feb 28, 2026 | -67.65% |
| Nov 30, 2025 | -24.45% |
| Aug 31, 2025 | -12.06% |
| May 31, 2025 | -86.34% |
| Feb 28, 2025 | -35.79% |
| Nov 30, 2024 | -35.41% |
| Aug 31, 2024 | 72.58% |
| May 31, 2024 | -63.17% |
| Feb 29, 2024 | -127.93% |
| Nov 30, 2023 | -18.75% |
| Aug 31, 2023 | -20.28% |
| May 31, 2023 | -22.85% |
| Feb 28, 2023 | -49.60% |
| Nov 30, 2022 | -216.35% |
| Aug 31, 2022 | -60.33% |
| May 31, 2022 | -56.71% |
| Feb 28, 2022 | -235.58% |
Applied Digital Return on Sales [ROS] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=APLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "APLD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();